Save Time and Money With the IMSL Java LibrarySave up to 95% of time spent on source code development, and thousands of dollars in design, development, documentation, testing, and maintenance costs with the IMSL Java Library.ReliableTrusted and proven for decades across all industry verticals.High PerformanceFast, scalable framework for high-performance analytical applications.ComprehensiveLargest analytic and numerical library on the market — all in 100% Java.Try Free TodayProven Mathematical and Statistical Algorithms for Java Applications and DatabasesThe IMSL Java Library provides a proven set of Java algorithms for applications, databases, and business intelligence solutions spanning all industries.See full function listStatisticsMathematicsData Mining & ForecastingIMSL Java for StatisticsWith statistical functions ranging from random number generation to multivariate analysis, developers can quickly create robust and accurate analytic tools.Summary StatisticsTime SeriesNonparametric TestsAnalysis of VarianceGeneralized Linear ModelsGoodness of FitDistribution FunctionsRandom Number GenerationForecastingHypothesis TestingDesign of ExperimentsStatistical Process ControlMultivariate AnalysisCorrelations and CovarianceWilcoxon Rank SumMaximum Likelihood EstimationIMSL Java for MathematicsAccelerate mathematical application development and time to market with the dependable and comprehensive IMSL Java Library.OptimizationMatrix OperationsLinear AlgebraEigensystem AnalysisInterpolationIntegrationApproximationDifferential EquationsPDEsFeynman-Kac SolverTransformsNonlinear EquationsLinear and Nonlinear ProgrammingSpecial FunctionsIMSL Java for Data Mining and Forecasting The IMSL Java Numerical Library provides the most advanced data mining and forecasting algorithms, all in 100% Java.Decision TreesNeural NetworksRegressionAutomatic ARIMAVector Auto-RegressionARCHApriori AnalysisGARCHCluster AnalysisGenetic AlgorithmsKohonen Self Organizing MapsNaïve BayesSupport Vector MachinePrincipal Components AnalysisDiscriminant AnalysisFactor AnalysisAdvanced Neural Network ForecastingOur neural network forecasting classes offer the ability to build smarter predictive models. Using a combination of historical and current data, developers can build more dependable predictive models and use them in countless applications, like bioinformatics, fraud detection, risk management, yield analysis, and more.Key Features of the IMSL Java LibraryEasily embeddable, high-performance, and dependable, the IMSL Java Library gives developers a high-ROI solution for developing advanced analytic tools in Java.Highly Supported, Easily EmbeddableThe IMSL Java Library includes support for common platform combinations, and embeds into databases, applications, and business insight solutions without added infrastructure.Intuitive and Consistent ProgrammingThe IMSL Java Library makes programming an intuitive process by using descriptive and explanatory function names. That means more time spent developing and less time spent digging through code.Optimized for Multi-Thread ProcessesThe IMSL Java Library is optimized for multi-thread processes and can easily integrate into web and database servers. Take full advantage of multicore and many-core hardware with the IMSL Java Library.Save Time and Money in DevelopmentDeveloping algorithm-rich software and applications from scratch can be costly. With the IMSL Java Library, development teams can save up to 95% of the time associated with source code development, including design, development, documentation, testing, and ongoing maintenance costs.Clear and Informative DiagnosticsThe IMSL Java Library provides clear and informative diagnostic error messaging for more efficient debugging and better developer productivity. Ensure your algorithms are working correctly with easy to use diagnostic messaging.Try for FreeWant to see how IMSL Java Numerical Libraries can work with your application? Request an evaluation today!Try FreeLearn MoreWant an overview of the IMSL libraries? Download our datasheet.Get DatasheetContact UsHave questions about the IMSL Numerical Libraries? Reach out!Contact Us
